File size: 2,234 Bytes
b373d74
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
import requests
from .normalizer import normalize_job_data
import os

# --- THIS IS A SKELETON FILE ---

try:
    import streamlit as st
    RAPIDAPI_KEY = st.secrets.get("RAPIDAPI_KEY")
except (ImportError, KeyError, FileNotFoundError):
    RAPIDAPI_KEY = os.getenv("RAPIDAPI_KEY", "YOUR_RAPIDAPI_KEY_HERE")

RAPIDAPI_HOST = "freelancer-jobs-api.p.rapidapi.com" # Example host

def fetch_freelancer_jobs_stub(query="graphic design", limit=5):
    """
    Skeleton function to fetch jobs from a Freelancer RapidAPI.
    Returns a predefined list of mock jobs.
    """
    print("Freelancer agent is a stub. Returning mock data.")
    mock_freelancer_jobs = [
        {
            'title': 'Logo Design for Startup (Stub)',
            'description': 'We need a modern and minimalist logo for our new tech startup. Please provide your portfolio. This is a mock job from a stub.',
            'link': 'https://www.freelancer.com/projects',
            'submitdate': 1736985600, # Unix timestamp for a date in 2025
            'job_details': {'country': 'Australia'}
        }
    ]
    return [normalize_job_data(job, "Freelancer (Stub)") for job in mock_freelancer_jobs]


def fetch_freelancer_jobs_real(query="graphic design", limit=10):
    """
    Real implementation example for fetching jobs from a Freelancer RapidAPI.
    NOTE: This code is illustrative and depends on the specific API's structure.
    """
    if RAPIDAPI_KEY == "YOUR_RAPIDAPI_KEY_HERE":
        print("RAPIDAPI_KEY not set for Freelancer. Cannot fetch real data.")
        return []

    url = f"https://{RAPIDAPI_HOST}/projects"
    params = {"query": query, "limit": str(limit)}

    headers = {
        "x-rapidapi-key": RAPIDAPI_KEY,
        "x-rapidapi-host": RAPIDAPI_HOST
    }

    try:
        response = requests.get(url, headers=headers, params=params)
        response.raise_for_status()
        # The response structure needs to be known to parse correctly
        projects = response.json().get('result', {}).get('projects', [])
        return [normalize_job_data(job, "Freelancer") for job in projects]
    except requests.exceptions.RequestException as e:
        print(f"Error fetching jobs from Freelancer RapidAPI: {e}")
        return []